Efficient process conformance checking on the basis of uncertain event-to-activity mappings

Han van der Aa (Corresponding author), Henrik Leopold, Hajo A. Reijers

    Research output: Contribution to journalArticleAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    Conformance checking enables organizations to automatically identify compliance violations based on the analysis of observed event data. A crucial requirement for conformance-checking techniques is that observed events can be mapped to normative process models used to specify allowed behavior. Without a mapping, it is not possible to determine if an observed event trace conforms to the specification or not. A considerable problem in this regard is that establishing a mapping between events and process model activities is an inherently uncertain task. Since the use of a particular mapping directly influences the conformance of an event trace to a specification, this uncertainty represents a major issue for conformance checking. To overcome this issue, we introduce a probabilistic conformance-checking technique that can deal with uncertain mappings. Our technique avoids the need to select a single mapping by taking the entire spectrum of possible mappings into account. A quantitative evaluation demonstrates that our technique can be applied on a considerable number of real-world processes where existing conformance-checking techniques fail.

    Original languageEnglish
    Article number8634941
    Pages (from-to)927-940
    Number of pages14
    JournalIEEE Transactions on Knowledge and Data Engineering
    Volume32
    Issue number5
    DOIs
    Publication statusPublished - 1 May 2020

    Keywords

    • Business process management
    • Business process monitoring

    Fingerprint Dive into the research topics of 'Efficient process conformance checking on the basis of uncertain event-to-activity mappings'. Together they form a unique fingerprint.

    Cite this